Artificial Neural Networks Controller for Power System Voltage Improvement

被引：0
|
作者：
Messalti, Sabir [1 ]
Boudjellal, Bilal [1 ]
Said, Azouz [1 ]
机构：
[1] Univ Msila, Dept Elect Engn, Fac Technol, Msila, Algeria
来源：
2015 6TH INTERNATIONAL RENEWABLE ENERGY CONGRESS (IREC) | 2015年
关键词：
Artificial Neural Networks controller; double fed induction generator (DFIG); Field-oriented control(FOC); PI controller; power system voltage improvement; FED INDUCTION GENERATOR; RESTORATION;
D O I：
暂无
中图分类号：
X [环境科学、安全科学];
学科分类号：
08 ; 0830 ;
摘要：
In this paper, power system voltage improvement using wind turbine is presented. Two controllers are used: a PI controller and Artificial Neural Networks (ANN) controller are investigated. The power flow exchanged between the wind turbine and the power system has been controlled in order to improve the bus voltage based on reactive power injection (or absorption) produced by variable speed wind turbine. The wind turbine is based on a doubly fed induction generator (DFIG) controlled by field-oriented control. Indirect control is used to control of the reactive power flow exchanged between the DFIG and the power system. The proposed controllers are tested on power system for large voltage disturbances.
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页数：6
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